A groundbreaking collaboration set to become the “first fully licensed, rightsholder-compensating, generative AI platform,” launching in 2025.

What is the project?

Musical AI and Beatoven.ai have partnered to develop a revolutionary platform for AI-generated music that ensures compensation for copyright holders. This initiative aims to be the first of its kind, generating songs through AI technology trained on licensed music data, while upholding ethical practices.

Built on Beatoven.ai’s technology, the platform’s training database comprises over 3 million licensed songs, loops, samples, and sounds. The tool’s consent-focused approach ensures the intellectual property of original artists remains respected. 

Set to launch in the second half of 2025, the platform will initially be available exclusively to Musical AI’s enterprise clients as a white-label service, allowing clients to rebrand and distribute the AI-generated music.

Notably, copyright holders will not only receive compensation for their works used in training the AI model, but also a share of the revenue from the AI-generated tracks- deploying a similar revenue-sharing approach to those used by streaming platforms.

The companies behind it all

Musical AI specialises in AI training, content licensing, and attribution. In this partnership, it will provide the licensing data, handle attribution for AI-generated outputs, and ensure payments to copyright holders.

Beatoven.ai offers AI-powered royalty-free music tailored to content creators. According to its website, over 1 million creators have generated more than 1.5 million tracks using its platform. These tracks are produced through text prompts, with the ability to alter the emotion and genre of the output.

Both companies have been “Fairly Trained” certified, a standard founded by former Stability AI executive Ed Newton-Rex to validate AI models’ respect for creators’ rights. This underscores their dedication to ethical AI use within their project.

“We are working with the forward-thinking, ethically driven team at Beatoven.ai because they see the value in proving that generative AI can be legal and can compensate original content creators for their work while still thriving as a business.”

Sean Power, Musical AI CEO

Why is this important?

This initiative addresses pressing concerns about the unauthorised use of copyrighted music and unethical AI practices in the creative space. Earlier this year, major labels like Sony and Universal Music Group sued AI startups for alleged copyright infringement, seeking $150,000 in compensation per track.

Musical AI and Beatoven.ai’s licensing-first approach represents a significant step toward resolving these issues. By building its database through direct collaboration with musicians, the platform ensures that original creators are compensated for their contributions for training the model.

By building its database through direct collaboration with musicians, and through a licensing-first approach, the platform ensures the trained music is fully licensed and compensates the original creators. This model could influence how AI is used within creative spaces, navigating the intersection of AI innovation, and existing legal and business frameworks.

“We believe with this partnership, we will set the way forward for how business models need to be built in AI with the rightsholders being compensated for the data models are trained on.”

Mansoor Rahimat Khan, Founder and CEO of Beatoven.ai

Beyond addressing copyright issues, the platform could pave the way for smaller creators and independent artists to protect their rights while receiving a share in the profits of AI-driven innovation. This could help bridge the gap between the demands of AI companies and the rights of creatives.

“There are no more excuses for not doing things right and well. We’re proving this with this first-ever service.”

Sean Power, Musical AI CEO

The road ahead

Beatoven.ai’s CEO believes this initiative could set the standard for AI business models in creative industries. By prioritising ethical practices and artist compensation, the platform sets a precedent for how AI can coexist within existing legal and creative frameworks.

While previous AI projects, such as Meta’s MusicGen, have explored generative music, this project’s focus on licensing and ethical practices sets it apart. It provides a potential roadmap for addressing the complex relationship between AI technology and creative rights, without resorting to legislative overhauls.

Ultimately, the true test will come when the platform launches in 2025. Its success or failure will likely shape the future of AI’s role in music creation and copyright management. Will it spark a new era of AI-generated content, or will it face the same controversies? Only time will tell.